Purpose: This study aimed to use enrollment information including demographic, family background and financial status, which can be gathered before the first semester starts, to construct early prediction models (EPMs) and extract crucial factors associated with first-year student dropout probability. Design/methodology/approach: The real-world…

This paper combines a theoretical-based model with a data-driven approach to develop an Early Warning System that detects students who are more likely to dropout. The model uses innovative multilevel statistical and machine learning methods. The paper demonstrates the validity of the approach by applying it to administrative data from a leading…

In the 21st century, the ubiquitous nature of technology today is evident and to a large extent, most of us benefit from the modern convenience brought about by technology. Yet to be technology literate, it is argued that learning to program still plays an important role. One area of research in programming concerns the identification of…

This research work presents a Bayesian Performance Prediction Model that was created in order to determine the strength of personality traits in predicting the level of mathematics performance of high school students in Addis Ababa. It is an automated tool that can be used to collect information from students for the purpose of effective group…

In 2005, the National Foundation for Educational Research (NFER) was commissioned to evaluate the potential value of using an aptitude test as an additional tool in the selection of candidates for admission to higher education (HE). This five-year study is co-funded by the National Foundation for Educational Research (NFER), the Department for…

Using a UK representative sample from the Millennium Cohort Study, the present study examined the unique and cumulative contribution of children's characteristics and attitudes to school, home learning environment and family's socio-economic background to children's language and literacy at the end of Key Stage 1 (age seven-years-old).…

The relationships between achievement at university and self-reported characteristics of students and their social environment were explored. College freshmen were interviewed twice, first for their social and study experiences, and second regarding preparation for final examinations. (Author/MLW)

The study examined a group of third grade students from Kuwait, considered gifted based on their mental ability, to determine if intelligence is a meaningful predictor of gifted behaviors. The gifted behaviors studied were learning, motivation, creativity, and leadership. Three hundred students, their mothers (N=300), and teachers (N=142)…

The initial effort in applying the SAT-M to young Chinese students revealed that many of them reason extraordinarily well mathematically before age 13 and before having covered the bulk of the high-school mathematics curriculum. The conclusion seems to be that they must have keen analytical ability. (MLW)

Most British universities accept students conditional upon A-level grades and place little reliance on recommendations. A study of social science undergraduates shows the importance of attitudinal variables and the headmaster's report in predicting success at the university. More attention should be paid to these reports. (IS)

A Markov chain is used to model the movement of undergraduates through the higher education system in Australia. Given the student's age on commencing a course of study, the model provides estimates of the probability of course completion, mean time for completion, and mean time spent in the higher education system. (Author/MSE)

Indices of motivation and demand developed to forecast postsecondary enrollment in Manitoba, Canada, are described. The indices were tested with surveys of more than 14,000 high school students with respect to actual outcomes and validated by surveying more than 5,000 students. The theoretical basis of the indices, their use in enrollment…